Abstract
Data mining is a computerized technology that uses complicated algorithms to find relationships and trends in large data bases, real or perceived, previously unknown to the retailer, to promote decision support.., data mining is touted to be one of the widespread recognition of the potential for analysis of past transaction data to improve the quality of future business decisions. The purpose of this paper is to critique data mining technology in comparison with more familiar data mining algorithm in well known tool Weka for strategic decision making by small to medium size retailers. The context for this study includes current and future industry applications and practices for research performed in data mining applications within the retail sector.
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